| GigaNi99a vs King | 24–16 | 60.00% |
| GigaNi99a vs Kazuya | 24–14 | 63.16% |
| GigaNi99a vs Law | 16–21 | 43.24% |
| GigaNi99a vs Jin | 20–14 | 58.82% |
| GigaNi99a vs Bryan | 15–19 | 44.12% |
| GigaNi99a vs Reina | 23–10 | 69.70% |
| GigaNi99a vs Hwoarang | 21–10 | 67.74% |
| GigaNi99a vs Heihachi | 13–15 | 46.43% |
| GigaNi99a vs Steve | 13–10 | 56.52% |
| GigaNi99a vs Yoshimitsu | 10–9 | 52.63% |
| GigaNi99a vs Clive | 8–9–1 | 47.06% |
| GigaNi99a vs Miary Zo | 12–6 | 66.67% |
| GigaNi99a vs Lars | 10–7 | 58.82% |
| GigaNi99a vs Lili | 8–7 | 53.33% |
| GigaNi99a vs Alisa | 10–5 | 66.67% |
| GigaNi99a vs Jun | 8–7 | 53.33% |
| GigaNi99a vs Victor | 11–4 | 73.33% |
| GigaNi99a vs Anna | 4–11 | 26.67% |
| GigaNi99a vs Paul | 8–6 | 57.14% |
| GigaNi99a vs Feng | 6–8 | 42.86% |
| GigaNi99a vs Lee | 10–4 | 71.43% |
| GigaNi99a vs Dragunov | 7–6 | 53.85% |
| GigaNi99a vs Nina | 4–9 | 30.77% |
| GigaNi99a vs Armor King | 8–4 | 66.67% |
| GigaNi99a vs Kuma | 9–2 | 81.82% |
| GigaNi99a vs Asuka | 8–2 | 80.00% |
| GigaNi99a vs Azucena | 2–8 | 20.00% |
| GigaNi99a vs Eddy | 5–5 | 50.00% |
| GigaNi99a vs Lidia | 6–4 | 60.00% |
| GigaNi99a vs Jack-8 | 5–4 | 55.56% |
| GigaNi99a vs Devil Jin | 5–4 | 55.56% |
| GigaNi99a vs Shaheen | 5–2 | 71.43% |
| GigaNi99a vs Zafina | 5–2 | 71.43% |
| GigaNi99a vs Claudio | 2–4 | 33.33% |
| GigaNi99a vs Fahkumram | 5–1 | 83.33% |
| GigaNi99a vs Leroy | 2–2 | 50.00% |
| GigaNi99a vs Raven | 3–1 | 75.00% |
| GigaNi99a vs Xiaoyu | 1–1 | 50.00% |
| GigaNi99a vs Panda | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.